Pinching-Antenna System-Assisted Localization: A Stochastic Geometry Perspective

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: He, Jiajun, Mu, Xidong, Ngo, Hien Quoc, Matthaiou, Michail
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866918209604550656
author He, Jiajun
Mu, Xidong
Ngo, Hien Quoc
Matthaiou, Michail
author_facet He, Jiajun
Mu, Xidong
Ngo, Hien Quoc
Matthaiou, Michail
contents This paper proposes a novel localization framework underpinned by a pinching-antenna (PA) system, in which the target location is estimated using received signal strength (RSS) measurements obtained from downlink signals transmitted by the PAs. To develop a comprehensive analytical framework, we employ stochastic geometry to model the spatial distribution of the PAs, enabling tractable and insightful network-level performance analysis. Closed-form expressions for target localizability and the Cramer-Rao lower bound (CRLB) distribution are analytically derived, enabling the evaluation of the fundamental limits of PA-assisted localization systems without extensive simulations. Furthermore, the proposed framework provides practical guidance for selecting the optimal waveguide number to maximize localization performance. Numerical results also highlight the superiority of the PA-assisted approach over conventional fixed-antenna systems in terms of the CRLB.
format Preprint
id arxiv_https___arxiv_org_abs_2511_15444
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Pinching-Antenna System-Assisted Localization: A Stochastic Geometry Perspective
He, Jiajun
Mu, Xidong
Ngo, Hien Quoc
Matthaiou, Michail
Signal Processing
This paper proposes a novel localization framework underpinned by a pinching-antenna (PA) system, in which the target location is estimated using received signal strength (RSS) measurements obtained from downlink signals transmitted by the PAs. To develop a comprehensive analytical framework, we employ stochastic geometry to model the spatial distribution of the PAs, enabling tractable and insightful network-level performance analysis. Closed-form expressions for target localizability and the Cramer-Rao lower bound (CRLB) distribution are analytically derived, enabling the evaluation of the fundamental limits of PA-assisted localization systems without extensive simulations. Furthermore, the proposed framework provides practical guidance for selecting the optimal waveguide number to maximize localization performance. Numerical results also highlight the superiority of the PA-assisted approach over conventional fixed-antenna systems in terms of the CRLB.
title Pinching-Antenna System-Assisted Localization: A Stochastic Geometry Perspective
topic Signal Processing
url https://arxiv.org/abs/2511.15444